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Data Scientist

Toronto, Ontario  - Permanent

Job Description

About the company

Our client is a leading financial technology company in the institutional debt capital markets - the largest capital market globally and the lifeline of finance world - that is laser focused on transforming how global investment banks, institutional investors, corporations, and governments can better execute transactions, price discover and engage with each other. They’re building a first-of-its-kind cloud-based platform that makes new bond issuance digital, transparent, and secure. Their team consists of individuals with deep expertise, from both a technical and industry perspective, that are truly motivated by the fact that they are making a significant impact on how global capital markets operate. They value sharp minds, integrity, high performance, collaboration, and purpose. Their mindset is to innovate and challenge convention. They believe that change is the only constant and that problems are opportunities in disguise.

The Opportunity

This exciting new role is available as part of the product team expansion. The position is a unique opportunity to build creative solutions for complex problems using cutting edge technology. As an expert in data science, you will be in charge of the architecture, integration and analysis of large data sets used for developing machine learning models and generating business insights. They are seeking experienced data scientists who are excited about utilizing latest statistical, machine learning, and predictive analytics techniques to transform unstructured data to creative solutions that will have direct impact on the business of their clients.

What You'll Do

Collect, analyze and visualize colossal datasets using a variety of emerging technologies to help solidify the understanding of users and improve product decision-making
Design, build and maintain an expanding set of robust predictive models and applications to drive forecast accuracy
Lead data science initiatives to recommend actionable business insights using big data analytics and machine learning techniques
Leverage distributed and open-source computing tools for recommendations, classification, regression, and feature extraction, from logistic regression to matrix factorization, to deep learning neural networks
Prepare detailed documentation to specify data sources, models and algorithms used and developed
Collaborate with the engineering team to deploy models and algorithms in production
Effectively communicate data insights in a non-technical manner to key stakeholders and senior management team

Special Perks:

What They Offer

The challenge and opportunity of joining a small but rapidly growing team
Opportunity to work on a real product with very demanding paying customers
Lots of opportunities for learning, leadership and self-development
Healthy snacks, Friday catered lunches and fun company off-sites
Ability to contribute in all stages of product development
Your full choice of development hardware

Successful candidate(s) will have a truly exciting opportunity to be part of the industry leading fintech company changing the way how global investment banks, institutional investors, corporations and governments access the capital markets. The candidate will work with top notch industry professionals and will be given ample amount of opportunities to learn and contribute.

Must Have Skills:

What You'll Need

Bachelor or Masters degree in relevant disciplines (Mathematics, Computer Science, Statistics, Electrical/Software Engineering)
5+ years of experience in data mining, machine learning, and statistical modeling
Solid understanding of the underlying statistical theory and predictive modeling lifecycle
Proven track record of building and demonstrating business value from predictive models and data products
Highly proficient in building statistical and algorithmic models with complex and large data sets such as supervised statistical learning, times-series analysis, regression analysis, data visualization and deep learning
Capability to architect highly scalable distributed systems, using different open source tools
Excellent communication and interpersonal skills

Nice to Have Skills:

An entrepreneurial mindset, likes working in an agile environment, driven to ship frequently
Team-oriented, pragmatic, self-starting
Likes to learn and grow with teammates in a highly collaborative and open environment
Understanding of, or interest in, finance and investments

Starting: ASAP
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